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DBMS > Cubrid vs. Galaxybase vs. Spark SQL vs. Transwarp KunDB

System Properties Comparison Cubrid vs. Galaxybase vs. Spark SQL vs. Transwarp KunDB

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonGalaxybase  Xexclude from comparisonSpark SQL  Xexclude from comparisonTranswarp KunDB  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPScalable, ACID-compliant native distributed parallel graph platformSpark SQL is a component on top of 'Spark Core' for structured data processingOLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelRelational DBMSGraph DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score0.00
Rank#383  Overall
#39  Graph DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.10
Rank#344  Overall
#151  Relational DBMS
Websitecubrid.com (korean)
cubrid.org (english)
galaxybase.comspark.apache.org/­sqlwww.transwarp.cn/­en/­product/­kundb
Technical documentationcubrid.org/­manualsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperCUBRID Corporation, CUBRID FoundationChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司Apache Software FoundationTranswarp
Initial release200820172014
Current release11.0, January 2021Nov 20, November 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaC and JavaScala
Server operating systemsLinux
Windows
LinuxLinux
OS X
Windows
Data schemeyesStrong typed schemayesyes
Typing infopredefined data types such as float or dateyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsyes
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Go
Java
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined procedures and functionsnoyes
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes, utilizing Spark Corehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlnoyes

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CubridGalaxybaseSpark SQLTranswarp KunDB
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